Essays about: "särdragsextrahering"

Showing result 1 - 5 of 7 essays containing the word särdragsextrahering.

1. 1. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Wilhelm Ågren; [2022]
   Keywords : Machine learning; Deep learning; Self-supervised learning; Cluster analysis; SimCLR; Magnetoencephalography; Partial sleep deprivation; Wavelet transform; Maskininlärning; Djupinlärning; Självövervakad inlärning; Klusteranalys; SimCLR; Magnetoencefalografi; Delvis sömndeprivering; Wavelet transform;

   Abstract : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. READ MORE

3. 2. Scar detection using deep neural networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Christina Sunnegårdh; [2021]
   Keywords : ;

   Abstract : Object detection is a computer vision method that deals with the tasks of localizing and classifying objects within an image. The number of usages for the method is constantly growing, and this thesis investigates the unexplored area of using deep neural networks for scar detection. READ MORE

4. 3. Feature extraction and cluster analysis of oil slicks using optical satellite data

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Martin Bergström; [2021]
   Keywords : ;

   Abstract : .... READ MORE

5. 4. Monitoring Vehicle Suspension Elements Using Machine Learning Techniques

   University essay from KTH/Spårfordon

   Author : Henrik Karlsson; [2019]
   Keywords : Condition monitoring; condition based maintenance; FDI; diagnostics; machine learning; classification algorithms; dimensionality reduction; feature selection; feature transformation; frequency response functions.; Tillståndsövervakning; tillståndsbaserat underhåll; FDI; diagnostik; maskininlärning; klassificeringsalgoritmer; dimensionalitetsreducering; särdragsextrahering; särdragstransformering; frekvenssvarsfunktioner.;

   Abstract : Condition monitoring (CM) is widely used in industry, and there is a growing interest in applying CM on rail vehicle systems. Condition based maintenance has the possibility to increase system safety and availability while at the sametime reduce the total maintenance costs. READ MORE

6. 5. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Beichen Chen; Amy Jinxin Chen; [2019]
   Keywords : Bipolar disorder; diagnosis; computer-aided medical diagnosis; SVM; Support vector machine; PCA; Principal component analysis; dimensionality reduction; feature reduction; neuroimaging; MRI; sMRI; machine learning; classification; psychiatric disorders; mental illness; Bipolär sjukdom; diagnotisering; datorstödd medicinsk diagnotisering; SVM; stödvektormaskin; PCA; principalkomponentanalys; MRI; magnetisk resonanstomografi; MRT; dimensionalitetsreduktion; maskininlärning; dimensionsreduktion; klassificering; psykiska sjukdomar;

   Abstract : This study aims to investigate how dimensionality reduction of neuroimaging data prior to training support vector machines (SVMs) affects the classification accuracy of bipolar disorder. This study uses principal component analysis (PCA) for dimensionality reduction. READ MORE